Lead Software Engineer

Franklin Templeton

Confirmed live today High trust

Hybrid

Quick summary

Work type: Hybrid
Location: New York, NYBaltimore, MDBoston, MASt. Petersburg, FLStamford, CTToronto, Ontario, Canada
Salary: $128,100–$174,500 / yr
Posted: 2 days ago
Freshness: Confirmed live today
Nearby: 99+ roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $176k

This role $151k

$116k $243k

below market most similar roles pay here above market

This role pays less than 71% of similar roles. Most pay $142,450–$208,800 — the blue band above. At the midpoint, this role pays about $151k versus about $176k for comparable roles.

Based on 240 similar postings.

Employer

About Franklin Templeton

Franklin Templeton is a global investment management organization offering a wide range of mutual funds, ETFs, and alternative investment solutions to retail and institutional investors worldwide. Industry: Investment Management & Asset Management

Franklin Templeton currently has 17 open roles on FindRole.

Listed pay typically runs $140,000–$174,500 across 17 roles with salary data.

Most-posted roles

View all roles at Franklin Templeton

At a glance

TL;DR · Lead Software Engineer

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The Lead Software Engineer joins the Investments domain team to deliver reliable, SLA-driven data pipelines for holdings, transactions, and positions. This role involves architecting end-to-end data platforms, owning ELT frameworks, and designing ingestion patterns from APIs and Blob Storage into Snowflake. You will lead the development of pipelines using Snowflake SQL, Stored Procedures, Tasks, and Dynamic Tables while driving advanced dimensional modeling and data governance standards like RBAC and masking. Key responsibilities include performance engineering, cost optimization, and mentoring engineers within an Agile environment. The technical stack includes Python, ADF, and CI/CD tools like GitLab and Jenkins. Additionally, you will utilize AI-assisted development tools like Copilot and Cortex to optimize pipeline design, transformations, and overall solution quality across the cloud-based Azure and Snowflake ecosystem.

Skills

Snowflake Python SQL Azure ADF APIs Blob Storage CI/CD GitLab Jenkins Liquibase Agile ELT Data Modeling Dimensional Modeling CDC GitHub Copilot Snowflake Cortex Data Governance Medallion Architecture

What you'll do

Architect and design end-to-end data platforms from source to consumption.
Lead the development of data pipelines using Snowflake SQL, Stored Procedures, and Dynamic Tables.
Own and enforce platform-level ELT frameworks, engineering standards, and data modeling strategies.
Design and govern ingestion patterns for APIs, ADF, and Blob storage to ensure scalability.
Establish data quality, observability, monitoring, and alerting frameworks for SLA-driven pipelines.
Lead performance engineering and cost optimization for Snowflake warehouses and queries.
Define and implement data governance standards including RBAC, masking, and lineage.
Mentor engineers and lead code reviews to maintain high engineering standards.

What we're looking for

Architect and design end-to-end data platforms from source to consumption.
Lead development of pipelines using Snowflake SQL, Stored Procedures, Tasks, and Dynamic Tables.
Demonstrate deep hands-on experience with Snowflake architecture, including storage, compute, and cloud services.
Possess strong expertise in ELT architecture, data warehousing, and dimensional modeling.
Utilize Python for orchestration and integrations.
Design and implement data governance standards including RBAC, masking, and lineage.
Experience with ADF, APIs, Blob storage, and CI/CD frameworks (preferred).
Exposure to Snowflake Cortex, AI capabilities, and GitHub Copilot workflows (preferred).

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